Cybersecurity
2022 promises to bring massive change to AI regulation
With all the public outrage from viral news stories on the dangers of artificial intelligence, it’s no small secret that governments have been gearing up [… Read more ]
Mois : janvier 2022
Cybersecurity
AI’s 6 Worst-Case Scenarios
HOLLYWOOD’S WORST-CASE scenario involving artificial intelligence (AI) is familiar as a blockbuster sci-fi film: Machines acquire humanlike intelligence, achieving sentience, and inevitably turn into evil overlords [… Read more ]
Deep learning
Amazon Research Introduces Deep Reinforcement Learning For NLU Ranking Tasks
In recent years, voice-based virtual assistants such as Google Assistant and Amazon Alexa have grown popular. This has presented both potential and challenges for natural [… Read more ]
Cybersecurity
Cybersecurity threats to watch for in 2022: Expert
With more people working remotely than ever before, cybersecurity has never been more important for both individuals and businesses. According to ESET Chief Cyber Threat Officer Tony [… Read more ]
cybersécurité
Le groupe Thales attaqué par le ransomware Lockbit ? (MAJ)
Si 2021 a été une année dense en matière de ransomware, l’année 2022 ne devrait pas connaître une pause. Et la première victime pourrait être [… Read more ]
cybersécurité
Des accès à deux banques en vente dans le darkweb
Une banque française et une banque canadienne en vente dans le darkweb. Le pirate affirme avoir un accès à des données internes. Pour quelques milliers [… Read more ]
Cybersecurity
10 bank to watch in 2022
The financial services initiatives at Meta are a source of almost nonstop controversy, and the company formerly known as Facebook is entering 2022 with a [… Read more ]
Cybersecurity
Ten cybersecurity resolutions for a safer 2022
New year, new resolutions — here are ten cybersecurity practices we think that you and your business need to usher a safe and cyber-secure 2022 [… Read more ]
Machine learning
The current state of MLOps for machine learning engineers
MLOps refers to the operation of machine learning in production. It combines DevOps with lifecycle tracking, reusable infrastructure, and reproducible environments to operationalize machine learning at scale [… Read more ]